Sandeep Chawda

@famt.ac.in

Associate Professor
Finolex Academy of Management and Technology, Ratnagiri

Sandeep Chawda


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https://researchid.co/sandeep.chawda

RESEARCH INTERESTS

Restructured Power Systems, Power System Economics, Electricity Markets, Renewable Energy, Energy Trading
21

Scopus Publications

158

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Risk-aware decision making for coordinated wind-storage system under severe price uncertainty
    Swati Gupta, Sandeep Chawda, Bharat Bhushan Sharma, Pawan Kumar Pathak, Vivek Prakash, Sachin Sharma
    Energy Reports, 2026
    Wind power producers (WPPs) face considerable profitability challenges in deregulated electricity markets due to the stochastic and volatile nature of wind generation and price signals. To address these challenges, this paper proposes a risk-aware decision-making framework that coordinates wind power generation with energy storage systems (ESS) for profit maximization under severe price uncertainty. The framework is built on information gap decision theory (IGDT), a non-probabilistic approach particularly suited for environments with limited historical data and unknown uncertainty distributions. A hybrid energy sale strategy is employed, wherein a portion of wind power is directly sold in the market while the remainder is stored and dispatched strategically according to prevailing market conditions. Three mathematical formulations are developed: (i) a deterministic model to establish baseline profits, (ii) a robustness model to quantify tolerance against adverse price deviations, and (iii) an opportuneness model to capture potential gains under favorable deviations. These models incorporate realistic operational constraints, including ESS dynamics, wind generation limits, and market bidding requirements. Case studies using real-world wind and price data demonstrate the efficacy of the proposed IGDT-based approach. The results reveal the trade-off between robustness and profitability, and the efficient frontiers generated provide strategic insights into decision-making under uncertainty. The robustness analysis showed that the system could tolerate profit reductions down to $15,133.81 under adverse deviations, while the opportuneness model identified profit improvements up to $46,777.22 in favorable scenarios. Overall, this study offers a comprehensive, risk-aware framework for enhancing the economic resilience of WPPs in competitive electricity markets. • Risk-aware IGDT framework for WPP–ESS coordination under price uncertainty. • Hybrid energy sale strategy combining market dispatch and strategic storage use. • Deterministic, robustness, and opportunity models for profit-risk evaluation. • Case studies validate model effectiveness using real wind and price data.
  • Estimation of Key Parameters in EV Batteries Using Machine Learning Techniques
    S. Bandopadhaya, V. Prakash, V. Himthani, S. Chawda
    Role of Plug in Electric Vehicles in Grid Management Services, 2025
  • Evolution of EV Charging Infrastructure with Bidirectional Approach: An Overview
    Suhas Mhabadi, Vivek Prakash, Sumit Nema, Sandeep Chawda
    2025 IEEE 4th International Conference for Advancement in Technology Iconat 2025, 2025
    The rapid adoption of electric vehicles (EVs) as a viable alternative to fossil-fuel-powered vehicles significantly increases the demand for scalable and robust charging infrastructure. This paper provides an overview of EV charging systems, with a particular focus on fast charging concerns related to grid and critical role of bidirectional charging systems. Various control strategies for bidirectional chargers are analyzed to assess their advantages and limitations. Furthermore, it underscores the growing importance of bidirectional chargers in delivering ancillary services, including reactive power compensation, voltage regulation, and frequency stabilization. By addressing these aspects, this review offers valuable insights into the development of sustainable and scalable EV charging infrastructure for the future.
  • Application of Golden Eagle Optimization in Reduced Order Modeling
    Aswant K. Sharma, Mangesh S. Modak, Sandeep Chawda, Dhanesh K. Sambariya
    2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025
    The increasing complexity of modern engineering systems necessitates the development of efficient modeling techniques that reduce computational costs while maintaining accuracy. Reduced order modeling (ROM) is a powerful approach that simplifies high-order models into lower-order representations, preserving essential system dynamics. This paper explores the application of Golden Eagle Optimization (GEO), a nature-inspired algorithm, in the context of ROM for complex systems. GEO is inspired by the hunting behavior of golden eagles, particularly their ability to intelligently locate prey by balancing exploration and exploitation in dynamic environments. In this paper, GEO is employed to optimize the Single Input Single-Output System [S.I.S.O.] model achieving effective order reduction without significant loss of system characteristics. The performance of GEO-based ROM approach is compared with traditional techniques, demonstrating its potential to provide accurate approximations with reduced computational effort. The results highlights effectiveness of GEO in improving the accuracy and efficiency of reduced order models(ROM). The paper concludes with a discussion on the advantages and limitations of GEO in ROM applications, along with future research directions to enhance its robustness and versatility in real-world engineering problems.
  • Stochastic Cournot Model for Coordinated Strategic Bidding of Wind-Storage Systems
    Swati Gupta, Bharat Bhushan Sharma, Pawan Kumar Pathak, Vivek Prakash, Sandeep Chawda, Sachin Sharma
    IEEE Access, 2025
    In recent years, government incentives and subsidies have driven significant growth in wind power plant (WPP) capacity, establishing WPPs as key players in the evolving electricity market. However, the inherent variability of wind generation introduces challenges, including potential penalties for deviations in energy output. Energy Storage Systems (ESS) serve as a versatile solution to mitigate the uncertainties associated with wind power variability. This paper proposes a comprehensive model for the joint bidding of WPPs and ESS in competitive electricity markets. The interactions between WPPs and ESS are modeled using a stochastic Cournot framework, accounting for wind power uncertainties through inter-hour ramp constraints. A Location-Based Dual Imbalance Price (DIP) mechanism is adopted for wind-storage systems operating within a network-constrained oligopolistic electricity market. The Nash equilibrium strategy is used to optimize the WPP-ESS bids, considering the competitive behavior of other market participants. A Mixed Integer Linear Programming (MILP) model is developed to determine the Nash equilibrium by evaluating a payoff matrix. Various practical scenarios are analyzed to demonstrate the efficacy of the proposed approach. Furthermore, the study investigates the influence of different imbalance price mechanisms on WPP-ESS profits, market clearing operations, and Nash equilibrium outcomes.
  • An Overview of Strengthening India's Carbon Credit System through EV Aggregators
    Sandeep Chawda, Suman Sharma
    Proceedings of the IEEE Power India International Conference Piicon, 2024
    Decarbonization is vital for mitigating climate change and achieving sustainable development. India’s climate strategy includes the establishment of a domestic carbon market as part of its decarbonization roadmap. Key initiatives include the energy conservation act and the carbon credit trading scheme (CCTS). This paper provides a comprehensive overview of India’s carbon credit mechanisms, with a focus on the role of electric vehicle (EV) aggregators in carbon trading. It explores how EV aggregators can contribute to decarbonization, grid stability, and revenue generation through demand response algorithms and vehicle-to-grid (V2G) integration. Effective implementation requires careful planning to ensure cost-effective decarbonization while maintaining global competitiveness.
  • Impact Assessment of Solar Integrated Residential Consumers on Retailer Decision-making
    Sandeep Chawda, Vivek Prakash
    Smart Grids and Sustainable Energy, 2023
  • Load Serving Entity’s Profit Maximization Framework for Correlated Demand and Pool Price Uncertainties
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar
    Technology and Economics of Smart Grids and Sustainable Energy, 2023
  • Scenarios and Modified Interval Based Wind Power Uncertainty Modelling for Decision Making in Electricity Market
    Swati Gupta, Bharat Bhushan Sharma, Vivek Prakash, Sandeep Chawda, Kailash Chand Sharma
    2023 International Conference on Power Instrumentation Energy and Control Piecon 2023, 2023
    The major power share from uncertain wind power producers would create a formidable challenge for grid management. Uncertain generation characteristics may impact the trading strategy of power producers. Hence, there is a need to model involved uncertainties for accuracy in the trading decision in an electricity market. The randomness of wind speed could be described by a stochastic process and characterized via probabilistic scenarios. However, probabilistic scenario-based models are computationally demanding and require a large number of scenarios. In this regard, this paper presents the modified interval forecast approach along with the stochastic scenario approach. In the modified interval approach uncertain interval is forecasted as upper and lower bounds and hourly ramps are considered using net-load scenarios. The proposed modified interval model results in computationally fast solutions and is accurate to capture available wind power output. Proposed models would be useful for wind power producers in trading decision-making.
  • Dynamic sale prices for load serving entity's risk based profit maximization
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar
    Electric Power Systems Research, 2021
  • Bi-Level Approach for Load Serving Entity’s Sale Price Determination under Spot Price Uncertainty and Renewable Availability
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar
    Technology and Economics of Smart Grids and Sustainable Energy, 2021
  • One Day Ahead Indian Electricity Price Forecasting Using Intelligently Tuned SVR
    S Sreekumar, R Bhakar, S Chawda, A Jain, V Prakash
    2020 IEEE International Power and Renewable Energy Conference Iprecon 2020, 2020
  • Dynamic sale price setting for load serving entity's profit maximization
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar, Sreenu Sreekumar
    IEEE Power and Energy Society General Meeting, 2020
  • Deviation Charge Reduction of Aggregated Wind Power Generation using Intelligently Tuned Support Vector Regression
    S Sreekumar, K C Sharma, R Bhakar, S Chawda, F Teotia, V Prakash
    2019 8th International Conference on Power Systems Transition Towards Sustainable Smart and Flexible Grids Icps 2019, 2019
  • Risk-based retailer profit maximization: Time of Use price setting for elastic demand
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar
    International Transactions on Electrical Energy Systems, 2019
  • Dynamic Retail Pricing for Load Serving Entity under Significant Renewable Energy Penetration
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar
    India International Conference on Power Electronics Iicpe, 2018
  • Modelling local electricity market over distribution network
    Falti Teotia, Parul Mathuria, Rohit Bhakar, Vivek Prakash, Sandeep Chawda
    2017 7th International Conference on Power Systems Icps 2017, 2018
  • Primary frequency response with stochastic scheduling under uncertain photovoltaic generation
    V. Prakash, K. C. Sharma, R. Bhakar, H. P. Tiwari, S. Sreekumar, S. Chawda, F. Teotia
    IEEE Power and Energy Society General Meeting, 2018
  • Scenario based uncertainty modeling of electricity market prices
    Kailash Chand Sharma, Rohit Bhakar, H. P. Tiwari, Sandeep Chawda
    2017 6th International Conference on Computer Applications in Electrical Engineering Recent Advances Cera 2017, 2017
  • Retailer risk-based trading decision making model under price responsive demand
    Sandeep Chawda, Parul Mathuria, Rohit Bhakar, Sreenu Sreekumar, Vivek Prakash, Falti Teotia
    2017 6th International Conference on Computer Applications in Electrical Engineering Recent Advances Cera 2017, 2017
  • Uncertainty and risk management in electricity market: Challenges and opportunities
    Sandeep Chawda, Rohit Bhakar, Parul Mathuria
    2016 National Power Systems Conference Npsc 2016, 2017

RECENT SCHOLAR PUBLICATIONS

  • Risk-aware decision making for coordinated wind-storage system under severe price uncertainty
    S Gupta, S Chawda, BB Sharma, PK Pathak, V Prakash, S Sharma
    Energy Reports 15, 109005 , 2026
    2026
  • Application of Golden Eagle Optimization in Reduced Order Modeling
    AK Sharma, MS Modak, S Chawda, DK Sambariya
    2025 IEEE 4th International Conference on Smart Technologies for Power … , 2025
    2025
  • Estimation of Key Parameters in EV Batteries Using Machine Learning Techniques
    S Bandopadhaya, V Prakash, V Himthani, S Chawda
    Role of Plug-in Electric Vehicles in Grid Management Services, 137-153 , 2025
    2025
  • Evolution of EV Charging Infrastructure with Bidirectional Approach: An Overview
    S Mhabadi, V Prakash, S Nema, S Chawda
    2025 IEEE 4th International Conference for Advancement in Technology (ICONAT … , 2025
    2025
  • An Overview of Strengthening India’s Carbon Credit System through EV Aggregators
    S Chawda, S Sharma
    2024 IEEE 11th Power India International Conference (PIICON), 1-6 , 2025
    2025
  • Stochastic Cournot Model for Coordinated Strategic Bidding of Wind-Storage Systems
    S Gupta, BB Sharma, PK Pathak, V Prakash, S Chawda, S Sharma
    IEEE Access , 2025
    2025
    Citations: 2
  • Impact Assessment of Solar Integrated Residential Consumers on Retailer Decision-making
    S Chawda, V Prakash
    Smart Grids and Sustainable Energy 8 (14) , 2023
    2023
    Citations: 3
  • Scenarios and Modified Interval Based Wind Power Uncertainty Modelling for Decision Making in Electricity Market
    S Gupta, BB Sharma, V Prakash, S Chawda, KC Sharma
    2023 International Conference on Power, Instrumentation, Energy and Control … , 2023
    2023
    Citations: 3
  • Load Serving Entity’s Profit Maximization Framework for Correlated Demand and Pool Price Uncertainties
    S Chawda, P Mathuria, R Bhakar
    Technology and Economics of Smart Grids and Sustainable Energy 8 (2), 1-13 , 2023
    2023
    Citations: 1
  • Bi-Level Approach for Load Serving Entity’s Sale Price Determination under Spot Price Uncertainty and Renewable Availability
    S Chawda, P Mathuria, R Bhakar
    Technology and Economics of Smart Grids and Sustainable Energy 6 (18), 1-11 , 2021
    2021
    Citations: 4
  • Dynamic sale prices for load serving entity's risk based profit maximization
    S Chawda, P Mathuria, R Bhakar
    Electric Power Systems Research 201, 1-9 , 2021
    2021
    Citations: 6
  • One Day Ahead Indian Electricity Price Forecasting Using Intelligently Tuned SVR
    S Sreekumar, R Bhakar, S Chawda, A Jain, V Prakash
    2020 IEEE International Power and Renewable Energy Conference, 1-6 , 2020
    2020
    Citations: 3
  • Dynamic Sale Price Setting for Load Serving Entity’s Profit Maximization
    S Chawda, P Mathuria, R Bhakar, S Sreekumar
    2020 IEEE Power & Energy Society General Meeting (PESGM) , 2020
    2020
  • Impact of Renewable Energy Availability on Load Serving Entity’s Sale Price and Procurement Decisions
    S Chawda, P Mathuria, R Bhakar
    2nd International Conference on Large-Scale Grid Integration of Renewable … , 2019
    2019
  • Risk‐based retailer profit maximization: Time of Use price setting for elastic demand
    S Chawda, P Mathuria, R Bhakar
    International Transactions on Electrical Energy Systems, 1-22 , 2019
    2019
    Citations: 12
  • Deviation Charge Reduction of Aggregated Wind Power Generation using Intelligently Tuned Support Vector Regression
    S Sreekumar, KC Sharma, R Bhakar, S Chawda, F Teotia, V Prakash
    8th International Conference on Power Systems 2019, 1-6 , 2019
    2019
    Citations: 8
  • Dynamic Retail Pricing for Load Serving Entity Under Significant Renewable Energy Penetration
    S Chawda, P Mathuria, R Bhakar
    2018 8th IEEE India International Conference on Power Electronics (IICPE) , 2018
    2018
    Citations: 4
  • Modelling local electricity market over distribution network
    F Teotia, P Mathuria, R Bhakar, V Prakash, S Chawda
    7th International Conference on Power Systems (ICPS), 1-6 , 2017
    2017
    Citations: 7
  • Scenario based uncertainty modeling of electricity market prices
    KC Sharma, R Bhakar, HP Tiwari, S Chawda
    6th International Conference on Computer Applications In Electrical … , 2017
    2017
    Citations: 17
  • Retailer risk-based trading decision making model under price responsive demand
    S Chawda, P Mathuria, R Bhakar, S Sreekumar, V Prakash, F Teotia
    6th International Conference on Computer Applications In Electrical … , 2017
    2017
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Analysis of single phase matrix converter
    D Ahirrao, B Gaware, P Kakade, P Kharade, S Chawda
    International Journal of Engineering Research and Applications 4 (3), 856-861 , 2014
    2014.0
    Citations: 26
  • Power quality issues and it’s mitigation techniques
    TG More, PR Asabe, S Chawda
    J. Eng. Res. Appl 4, 170-177 , 2014
    2014.0
    Citations: 23
  • Scenario based uncertainty modeling of electricity market prices
    KC Sharma, R Bhakar, HP Tiwari, S Chawda
    6th International Conference on Computer Applications In Electrical … , 2017
    2017.0
    Citations: 17
  • Uncertainty and risk management in electricity market: Challenges and opportunities
    S Chawda, R Bhakar, P Mathuria
    Power Systems Conference (NPSC), 2016 National, 1-6 , 2016
    2016.0
    Citations: 16
  • Risk‐based retailer profit maximization: Time of Use price setting for elastic demand
    S Chawda, P Mathuria, R Bhakar
    International Transactions on Electrical Energy Systems, 1-22 , 2019
    2019.0
    Citations: 12
  • Primary frequency response with stochastic scheduling under uncertain photovoltaic generation
    V Prakash, KC Sharma, R Bhakar, HP Tiwari, S Sreekumar, S Chawda, ...
    Power & Energy Society General Meeting, 2017 IEEE, 1-5 , 2017
    2017.0
    Citations: 12
  • Deviation Charge Reduction of Aggregated Wind Power Generation using Intelligently Tuned Support Vector Regression
    S Sreekumar, KC Sharma, R Bhakar, S Chawda, F Teotia, V Prakash
    8th International Conference on Power Systems 2019, 1-6 , 2019
    2019.0
    Citations: 8
  • Modelling local electricity market over distribution network
    F Teotia, P Mathuria, R Bhakar, V Prakash, S Chawda
    7th International Conference on Power Systems (ICPS), 1-6 , 2017
    2017.0
    Citations: 7
  • Dynamic sale prices for load serving entity's risk based profit maximization
    S Chawda, P Mathuria, R Bhakar
    Electric Power Systems Research 201, 1-9 , 2021
    2021.0
    Citations: 6
  • Bi-Level Approach for Load Serving Entity’s Sale Price Determination under Spot Price Uncertainty and Renewable Availability
    S Chawda, P Mathuria, R Bhakar
    Technology and Economics of Smart Grids and Sustainable Energy 6 (18), 1-11 , 2021
    2021.0
    Citations: 4
  • Dynamic Retail Pricing for Load Serving Entity Under Significant Renewable Energy Penetration
    S Chawda, P Mathuria, R Bhakar
    2018 8th IEEE India International Conference on Power Electronics (IICPE) , 2018
    2018.0
    Citations: 4
  • Retailer risk-based trading decision making model under price responsive demand
    S Chawda, P Mathuria, R Bhakar, S Sreekumar, V Prakash, F Teotia
    6th International Conference on Computer Applications In Electrical … , 2017
    2017.0
    Citations: 4
  • PC Controlled Home Appliances
    L Soni, SK Thorat, S Chawda
    International Journal of Engineering Research and Applications 4 (5), 51-53 , 0
    Citations: 4
  • Impact Assessment of Solar Integrated Residential Consumers on Retailer Decision-making
    S Chawda, V Prakash
    Smart Grids and Sustainable Energy 8 (14) , 2023
    2023.0
    Citations: 3
  • Scenarios and Modified Interval Based Wind Power Uncertainty Modelling for Decision Making in Electricity Market
    S Gupta, BB Sharma, V Prakash, S Chawda, KC Sharma
    2023 International Conference on Power, Instrumentation, Energy and Control … , 2023
    2023.0
    Citations: 3
  • One Day Ahead Indian Electricity Price Forecasting Using Intelligently Tuned SVR
    S Sreekumar, R Bhakar, S Chawda, A Jain, V Prakash
    2020 IEEE International Power and Renewable Energy Conference, 1-6 , 2020
    2020.0
    Citations: 3
  • Assessment of price risk of power under Indian electricity market
    S Chawda, S Deshmukh
    International Journal of Computer Applications 59 (11) , 2012
    2012.0
    Citations: 3
  • Stochastic Cournot Model for Coordinated Strategic Bidding of Wind-Storage Systems
    S Gupta, BB Sharma, PK Pathak, V Prakash, S Chawda, S Sharma
    IEEE Access , 2025
    2025.0
    Citations: 2
  • Load Serving Entity’s Profit Maximization Framework for Correlated Demand and Pool Price Uncertainties
    S Chawda, P Mathuria, R Bhakar
    Technology and Economics of Smart Grids and Sustainable Energy 8 (2), 1-13 , 2023
    2023.0
    Citations: 1
  • Risk-aware decision making for coordinated wind-storage system under severe price uncertainty
    S Gupta, S Chawda, BB Sharma, PK Pathak, V Prakash, S Sharma
    Energy Reports 15, 109005 , 2026
    2026.0